High-Throughput Genomics and Bioinformatic Analysis (GBA)

高通量基因组学和生物信息学分析 (GBA)

• 批准号: 9918306
• 负责人: BRIAN DALLEY
• 金额: $ 0.38万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9918306
• 关键词: Abbreviations; Advisory Committees; Applications Grants; Back; Basic Science; Bioinformatics; Biostatistics Shared Resource; Budgets; Cancer Center; Cancer Center Support Grant; Charge; Clinical; Core Facility; Coupled; Data Analyses; Doctor of Philosophy; Educational process of instructing; Effectiveness; Ensure; Faculty; Fee-for-Service Plans; Floor; Funding; Genomic approach; Genomics; Grant; Health system; High-Throughput Nucleotide Sequencing; Human Resources; Imagery; Infrastructure; Institutes; Location; Malignant Neoplasms; Modeling; Modernization; Pathology; Peer Review; Policies; Population Sciences; Price; Procedures; Protocols documentation; Publications; Published Comment; RNA library; Research; Research Personnel; Resource Sharing; Resources; Running; Sampling; Scientist; Service delivery model; Services; Small RNA; Surveys; Universities; Utah; Work; Writing; acronyms; anticancer research; cancer statistics; computer infrastructure; cost; data warehouse; exome; genomic data; informatics shared resource; innovation; instrumentation; medical schools; meetings; member; programs; web site; wiki

HIGH-THROUGHPUT GENOMICS AND BIOINFORMATIC ANALYSIS SHARED RESOURCE ABSTRACT The High-Throughput Genomics and Bioinformatic Analysis (GBA) Shared Resource provides state-of-the-art genomics instrumentation and capabilities, along with professional bioinformatics expertise, at an affordable and subsidized cost to Cancer Center members and all University of Utah (U of U) faculty. Huntsman Cancer Institute (HCI) established this campus-wide shared resource in 1997 and is responsible for its management and the array of services provided. The GBA Shared Resource has two sections that work in coordination: Genomics, established in 2000, and Bioinformatics, established in 2005. The two sections of the GBA Shared Resource are located proximally on the third floor of the Jon M. Huntsman Cancer Research Building, a location easily accessible to all Cancer Center members and other campus users. The Genomics section (5 FTEs) has expert personnel who offer state-of-the-art high-throughput sequencing (Illumina HiSeq2500) coupled to front-end procedures (e.g. exome capture/release, bisulphite treatment, small RNAs library constructions), as well as microarray services. The Bioinformatics section (5 FTEs) has expert personnel who provide a wide range of cutting-edge genomics data analysis services and visualization platforms, manage the underlying computational infrastructure, and help coordinate genomics efforts throughout the Cancer Center. The GBA Shared Resource hosts a detailed website/wiki that provides a full description of services, recommended protocols, technical advice, tutorials, queue, and pricing. The GBA Shared Resource collaborates closely with the Research Informatics (RI) Shared Resource, which writes infrastructure programs of key importance to the GBA, including a sophisticated genomics LIMS (GNomEx) and sample tracking suite (itBioPath). The GBA Shared Resource and users are also advised in statistics by the Cancer Biostatistics Shared Resource. The GBA Shared Resource is overseen by a Faculty Advisory Committee, which guides priorities and services, and responds to user comments and annual surveys. The Resource provides genomics services in a fee-for-service model involving one-tier pricing and an open transparent queue. This model ensures optimal coordination of HCI-managed Shared Resources with those managed by other U of U entities, which also share these policies. Operational effectiveness is enhanced by a monthly roundtable meeting led by the GBA Directors and the HCI Senior Director of Basic Science, which is also attended by RI Shared Resource members. The GBA Shared Resource has a major impact on our Center, as shown by the wide array of HCI users and the large number of publications and grants that acknowledge the Resource. In 2013, GBA use by HCI members with peer-reviewed funding exceeded 42%, while the CCSG budget request is only 6% ($134,280) of the total proposed budget.

高通量基因组学与生物信息学分析共享资源 摘要 高通量基因组学和生物信息分析(GBA)共享资源提供最先进的 基因组学仪器和能力，以及专业的生物信息学专业知识，以负担得起的 并向癌症中心成员和犹他大学(U Of U)全体教职员工提供费用补贴。亨斯迈癌症 学院(HCI)于1997年建立了这一全校范围的共享资源，并负责其管理 以及所提供的一系列服务。GBA共享资源有两个协同工作的部分： 基因组学成立于2000年，生物信息学成立于2005年。GBA的两个部分共享 资源位于洪博培癌症研究大楼三楼附近，a 所有癌症中心成员和其他校园用户都可以轻松到达。基因组学部分(5 FTES)拥有提供最先进的高通量测序技术的专家人员(Illumina HiSeq2500) 与前端程序(例如外显子组捕获/释放、亚硫酸氢盐处理、小RNA文库 建筑)，以及微阵列服务。生物信息科(5 FTE)有专家人员，他们 提供广泛的前沿基因组数据分析服务和可视化平台，管理 基础计算基础设施，并帮助协调整个癌症中心的基因组学工作。 GBA共享资源托管详细的网站/维基，该网站/维基提供服务的完整描述， 推荐的协议、技术建议、教程、队列和定价。 GBA共享资源与研究信息学(RI)共享资源密切合作， 它编写了对GBA至关重要的基础设施计划，包括复杂的基因组学LIMS (GNomEx)和样本跟踪套件(ItBioPath)。中还建议GBA共享资源和用户 癌症生物统计共享资源提供的统计数据。GBA共享资源由一名教师监督 咨询委员会，指导优先事项和服务，并回应用户意见和年度 调查。该资源以按服务收费的模式提供基因组学服务，包括一级定价和 打开透明队列。此模型可确保通过以下方式优化协调由HCI管理的共享资源 由也共享这些策略的其他密歇根大学实体管理的。运营效率是 由GBA董事和HCI Basic高级主任领导的每月圆桌会议加强了这一点 科学，也有国际扶轮共享资源成员参加。GBA共享资源有一个主要的 对我们中心的影响，如广泛的人机界面用户和大量出版物和 确认资源的授予。2013年，接受同行审查资金的HCI成员使用GBA 超过42%，而协调委员会的预算申请只占拟议预算总额的6%(134 280美元)。